Results 111 to 120 of about 51,115 (241)

A Hardware-Efficient Recognition Accelerator Using Haar-Like Feature and SVM Classifier

IEEE Access, 2019
Significantly improved performance of the various learning algorithms has revived the interest in computer vision for recognition applications during the current decade.
Aiwen Luo, Fengwei An, Xiangyu Zhang, Hans Jurgen Mattausch   +3 more
doaj   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review

Systems Engineering, EarlyView.
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso, Sara Himmiche, Taiwo Tejumola, Yeshirun Alemayehu, Bertrand Rose   +4 more
wiley   +1 more source

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

A Low‐Power Radioisotope XRF Spectrometer for Detection of Light Elements on Planetary Missions

X-Ray Spectrometry, EarlyView.
ABSTRACT Current X‐ray spectrometers for in situ geochemical analysis on planetary missions typically rely either on X‐ray tubes, which demand electrical power and add mass and thermal complexity, or on alpha particle X‐ray spectrometers (APXS) that use rare 244Cm$$ {}^{244}\mathrm{Cm} $$ sources, and come with severe concerns on radiation safety and ...
Leandro Silveri, Artem Knyazev, Hashem Alaidaros, Maryam Manzoor Amanullah, Zach Ioannou, Tengiz Ibrayev, Danish Khan, Sara Leardini, Laura Manenti, Simi Maria Emilia Mangani, Safa Naseem, Sandhya Sharma, Sara Trevisan, Alia Zino, Francesco Arneodo   +14 more
wiley   +1 more source

Vitess 3.8: a modernized framework for Monte Carlo neutron tracing simulations

Journal of Applied Crystallography, EarlyView.
VITESS 3.8 introduces modernized neutron‐source modeling with new artificial‐intelligence‐based and KDSource modules, plus expanded component support including a prism module and NCrystal‐integrated sample module. It also delivers major upgrades to existing modules and multiple new features, advancing the simulation framework.VITESS is a modular Monte ...
José Ignacio Robledo, Nicoló Violini, Fabian Beule, Jorg Voigt, Paul Zakalek, Klaus Lieutenant   +5 more
wiley   +1 more source

Fibre phantom generation using FibreSimulator: an open‐source Python tool

Journal of Synchrotron Radiation, EarlyView.
FibreSimulator is an open‐source tool for generating realistic 3D phantoms of unidirectional fibre‐reinforced polymers, enabling customizable fibre structures and simulating computed tomography scanning for algorithm development and validation.Fibre‐reinforced polymer composites are utilized across many industries for their stiffness and strength ...
Mary Chris Roperos Go, Daniël M. Pelt, Anirudh Kohli, Philip J. Withers, K. Joost Batenburg   +4 more
wiley   +1 more source

Design and Application of an Automatic Data Analysis Module for Urban Rail Vehicles

Kongzhi Yu Xinxi Jishu, 2022
In the command system related to the operation and maintenance of urban rail vehicles, data analysis is the basis for real-time vehicle monitoring and state analysis.
DEND Jian
doaj  

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

A Self-Configurable IoT-Based Monitoring Approach for Environmental Variables in Rotational Grazing Systems

Informatics
Shaded resting zones in rotational grazing systems are prone to thermal stress due to limited ventilation and the congregation of animals during peak heat periods. Addressing these challenges requires sensing solutions that are not only accurate but also
Rodrigo Garcia, Mario Macea, Samir Castaño, Pedro Guevara   +3 more
doaj   +1 more source